Lint

.github/workflows/python-app.yml

@@ -34,7 +34,7 @@ jobs:
         poetry run isort -c .
     - name: Lint with pylint
       run: |
-        poetry run pylint orm_importer    
+        poetry run pylint orm_importer --fail-under 8
 
   test:
 

orm_importer/importer.py

@@ -1,5 +1,5 @@
 from collections import defaultdict
-from typing import List
+from typing import Any, List, Optional
 
 import networkx as nx
 import overpy
@@ -16,11 +16,11 @@
     get_additional_signals,
     get_opposite_edge_pairs,
     get_signal_classification_number,
+    get_signal_direction,
     get_signal_function,
     get_signal_kind,
     get_signal_name,
     get_signal_states,
-    getSignalDirection,
     is_end_node,
     is_same_edge,
     is_signal,
@@ -35,15 +35,18 @@ def __init__(self):
         self.top_nodes: list[OverpyNode] = []
         self.node_data: dict[str, OverpyNode] = {}
         self.ways: dict[str, List[overpy.Way]] = defaultdict(list)
-        self.paths: dict[str, List[List]] = defaultdict(list)
+        self.paths: dict[tuple[Optional[Any], Optional[Any]], List[List]] = defaultdict(list)
         self.api = overpy.Overpass(url="https://osm.hpi.de/overpass/api/interpreter")
         self.topology = Topology()
 
     def _get_track_objects(self, polygon: str, railway_option_types: list[str]):
         query_parts = ""
-        for type in railway_option_types:
-            query_parts = query_parts + f'way["railway"="{type}"](poly: "{polygon}");node(w)(poly: "{polygon}");'
-        query = f'({query_parts});out body;'
+        for _type in railway_option_types:
+            query_parts = (
+                query_parts
+                + f'way["railway"="{_type}"](poly: "{polygon}");node(w)(poly: "{polygon}");'
+            )
+        query = f"({query_parts});out body;"
         print(query)
         return self._query_api(query)
 
@@ -52,21 +55,21 @@ def _query_api(self, query):
         return result
 
     def _build_graph(self, track_objects):
-        G = nx.Graph()
+        graph = nx.Graph()
         for way in track_objects.ways:
             previous_node = None
             for idx, node_id in enumerate(way._node_ids):
                 try:
                     node = track_objects.get_node(node_id)
                     self.node_data[node_id] = node
                     self.ways[str(node_id)].append(way)
-                    G.add_node(node.id)
+                    graph.add_node(node.id)
                     if previous_node:
-                        G.add_edge(previous_node.id, node.id)
+                        graph.add_edge(previous_node.id, node.id)
                     previous_node = node
                 except overpy.exception.DataIncomplete:
                     continue
-        return G
+        return graph
 
     def _get_next_top_node(self, node, edge: "tuple[str, str]", path):
         node_to_id = edge[1]
@@ -115,7 +118,7 @@ def _add_signals(self, path, edge: model.Edge, node_before, node_after):
                         signal_geo_point
                     ),
                     side_distance=dist_edge(node_before, node_after, node),
-                    direction=getSignalDirection(
+                    direction=get_signal_direction(
                         edge, self.ways, path, node.tags["railway:signal:direction"]
                     ),
                     function=get_signal_function(node),
@@ -134,8 +137,8 @@ def _get_edge_speed(self, edge: Edge):
         common_ways = ways_a.intersection(ways_b)
         if len(common_ways) != 1:
             return None
-        maxspeed = common_ways.pop().tags.get("maxspeed", None)
-        return int(maxspeed) if maxspeed else None
+        max_speed = common_ways.pop().tags.get("maxspeed", None)
+        return int(max_speed) if max_speed else None
 
     def _should_add_edge(self, node_a: model.Node, node_b: model.Node, path: list[int]):
         edge_not_present = not self.topology.get_edge_by_nodes(node_a, node_b)
@@ -145,11 +148,14 @@ def _should_add_edge(self, node_a: model.Node, node_b: model.Node, path: list[in
         present_paths = self.paths[(node_a, node_b)] + self.paths[(node_b, node_a)]
         return path not in present_paths and reversed_path not in present_paths
 
-    def run(self, polygon, railway_option_types):
+    def run(self, polygon, railway_option_types: list[str] = None):
+        if railway_option_types is None:
+            railway_option_types = ["rail"]
         track_objects = self._get_track_objects(polygon, railway_option_types)
         self.graph = self._build_graph(track_objects)
 
-        # ToDo: Check whether all edges really link to each other in ORM or if there might be edges missing for nodes that are just a few cm from each other
+        # ToDo: Check whether all edges really link to each other in ORM or if there might be
+        #  edges missing for nodes that are just a few cm from each other
         # Only nodes with max 1 edge or that are a switch can be top nodes
         for node_id in self.graph.nodes:
             node = self.node_data[node_id]
@@ -203,7 +209,8 @@ def run(self, polygon, railway_option_types):
                     e for e in self.topology.edges.values() if e.node_a == node or e.node_b == node
                 ]
 
-                # merge edges, this means removing the switch and allowing only one path for each origin
+                # merge edges, this means removing the switch and
+                # allowing only one path for each origin
                 edge_pair_1, edge_pair_2 = get_opposite_edge_pairs(connected_edges, node)
                 new_edge_1 = merge_edges(*edge_pair_1, node)
                 new_edge_2 = merge_edges(*edge_pair_2, node)
@@ -228,8 +235,10 @@ def run(self, polygon, railway_option_types):
                     except DataIncomplete:
                         nodes = way.get_nodes(resolve_missing=True)
                         for candidate in nodes:
-                            # we are only interested in nodes outside the bounding box as every node
-                            # that has been previously known was already visited as part of the graph
+                            # we are only interested in nodes outside the
+                            # bounding box as every node that has been
+                            # previously known was already visited as
+                            # part of the graph
                             if (
                                 candidate.id != int(node.name)
                                 and candidate.id not in self.node_data.keys()
@@ -248,9 +257,9 @@ def run(self, polygon, railway_option_types):
                                 break
                 if not substitute_found:
                     # if no substitute was found, the third node seems to be inside the bounding box
-                    # this can happen when a node is connected to the same node twice (e.g. station on
-                    # lines with only one track). WARNING: this produced weird results in the past.
-                    # It should be okay to do it after the check above.
+                    # this can happen when a node is connected to the same node twice (e.g.
+                    # station on lines with only one track). WARNING: this produced weird
+                    # results in the past. It should be okay to do it after the check above.
                     connected_edges = [
                         e
                         for e in self.topology.edges.values()

orm_importer/utils.py

@@ -21,7 +21,6 @@
 def dist_edge(node_before, node_after, signal):
     # Calculate distance from point(signal) to edge between node before and after
     # TODO: Validate that this is really correct!
-    return 3.95
     p1 = np.array((node_before.lat, node_before.lon))
     p2 = np.array((node_after.lat, node_after.lon))
     p3 = np.array((signal.lat, signal.lon))
@@ -41,7 +40,8 @@ def is_end_node(node, graph):
 
 def is_signal(node):
     # we cannot use railway=signal as a condition, as buffer stops violate this assumption.
-    # Instead, we check for the signal direction as we cannot create a signal without a direction anyway
+    # Instead, we check for the signal direction as we cannot create a
+    # signal without a direction anyway
     return "railway:signal:direction" in node.tags.keys()
 
 
@@ -61,7 +61,7 @@ def is_same_edge(e1: tuple, e2: tuple):
     return False
 
 
-def getSignalDirection(edge: Edge, ways: dict[str, List[Way]], path, signal_direction_tag: str):
+def get_signal_direction(edge: Edge, ways: dict[str, List[Way]], path, signal_direction_tag: str):
     edge_is_forward = None
     for way in ways[edge.node_a.name]:
         node_a = int(edge.node_a.name)
@@ -90,12 +90,12 @@ def getSignalDirection(edge: Edge, ways: dict[str, List[Way]], path, signal_dire
         not edge_is_forward and signal_direction_tag == "backward"
     ):
         return "in"
-    else:
-        return "gegen"
+    return "gegen"
 
 
 def get_signal_states(signal_tags: dict):
-    # Sh0 is tagged as Hp0 in OSM since a few years, but not all tags have been replaced so we convert them
+    # Sh0 is tagged as Hp0 in OSM since a few years, but not all tags
+    # have been replaced so we convert them
     raw_states = []
     raw_states += signal_tags.get("railway:signal:main:states", "").split(";")
     raw_states += signal_tags.get("railway:signal:combined:states", "").split(";")
@@ -160,12 +160,11 @@ def get_signal_function(signal: Node) -> str:
         tag = next(t for t in signal.tags.keys() if t.endswith(":function"))
         if signal.tags[tag] == "entry":
             return "Einfahr_Signal"
-        elif signal.tags[tag] == "exit":
+        if signal.tags[tag] == "exit":
             return "Ausfahr_Signal"
-        elif signal.tags[tag] == "block":
+        if signal.tags[tag] == "block":
             return "Block_Signal"
-        else:
-            return "andere"
+        return "andere"
     except StopIteration:
         return "andere"
 
@@ -176,36 +175,33 @@ def get_signal_kind(signal: Node) -> str:
     # ORM Reference: https://wiki.openstreetmap.org/wiki/OpenRailwayMap/Tagging/Signal
     if "railway:signal:main" in signal.tags.keys():
         return "Hauptsignal"
-    elif "railway:signal:distant" in signal.tags.keys():
+    if "railway:signal:distant" in signal.tags.keys():
         return "Vorsignal"
-    elif "railway:signal:combined" in signal.tags.keys():
+    if "railway:signal:combined" in signal.tags.keys():
         return "Mehrabschnittssignal"
-    elif "railway:signal:shunting" in signal.tags.keys() or (
+    if "railway:signal:shunting" in signal.tags.keys() or (
         "railway:signal:minor" in signal.tags.keys()
         and (
             signal.tags["railway:signal:minor"] == "DE-ESO:sh0"
             or signal.tags["railway:signal:minor"] == "DE-ESO:sh2"
         )
     ):
         return "Sperrsignal"
-    elif (
-        "railway:signal:main" in signal.tags.keys() and "railway:signal:minor" in signal.tags.keys()
-    ):
+    if "railway:signal:main" in signal.tags.keys() and "railway:signal:minor" in signal.tags.keys():
         return "Hauptsperrsignal"
     # Names in comment are not yet supported by PlanPro generator
-    elif "railway:signal:main_repeated" in signal.tags.keys():
+    if "railway:signal:main_repeated" in signal.tags.keys():
         return "andere"  # 'Vorsignalwiederholer'
-    elif "railway:signal:minor" in signal.tags.keys():
+    if "railway:signal:minor" in signal.tags.keys():
         return "andere"  # 'Zugdeckungssignal'
-    elif "railway:signal:crossing" in signal.tags.keys():
+    if "railway:signal:crossing" in signal.tags.keys():
         return "andere"  # 'Überwachungssignal'
-    elif (
+    if (
         "railway:signal:combined" in signal.tags.keys()
         and "railway:signal:minor" in signal.tags.keys()
     ):
         return "andere"  # 'Mehrabschnittssperrsignal'
-    else:
-        return "andere"
+    return "andere"
 
 
 def get_signal_name(node: Node):

tests/test_converter.py

@@ -20,4 +20,4 @@ def test_query_griebnitzsee(mock_converter):
 
     assert len(res.nodes) == 10
     assert len(res.edges) == 9
-    assert len(res.signals) == 9
+    assert len(res.signals) == 17